4.7 Article

On the Impacts of Historical and Future Climate Changes to the Sustainability of the Main Sardinian Forests

Journal

REMOTE SENSING
Volume 14, Issue 19, Pages -

Publisher

MDPI
DOI: 10.3390/rs14194893

Keywords

climate change; forests; MAP; tree cover; VPD

Funding

  1. Italian Ministry of Education, University and Research (MIUR) through the SWATCH European project of the PRIMA MED program [F24D19000010006]

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This study evaluates the ability of forests in the Island of Sardinia to resist or adapt to climate changes. The results show that these forests are affected by drought-triggered tree dieback and vegetation changes. The behavior of vegetation is related to mean annual precipitation, while temperature and vapor-pressure deficit also have an impact on the forests. Future scenarios predict a decrease in tree cover, especially with reduced precipitation.
The Mediterranean Basin is affected by climate changes that may have negative effects on forests. This study aimed to evaluate the ability of 17 forests located in the Island of Sardinia to resist or adapt to the past and future climate. Sardinia is experiencing a decreasing anthropic pressure on forests, but drought-triggered dieback in trees was recently observed and confirmed by the analysis of 20 years of satellite tree-cover data (MOD44B). Significant negative trends in yearly tree cover have affected the broad-leaved vegetation, while significative positive trends were found in the bushy sclerophyllous vegetation. Vegetation behavior resulted in being related to the mean annual precipitation (MAP); for MAP < 700 mm, we found a decline in the tall broad-leaved stands and an increase in the short ones, and the opposite was found for bushy sclerophyllous vegetations. In forests with MAP > 700 mm, both stands are stable, regardless of the growing trends in the vapor-pressure deficit (VPD) and temperature. No significative correlation between bushy sclerophyllous tree cover and the climate drivers was found, while broad-leaved tree cover is positively related to MAP1990-2019 and negatively related to the growing annual VPD. We modeled those relationships, and then we used them to coarsely predict the effects of twelve future scenarios (derived from HADGEM2-AO (CMIP5) and HadGEM3-GC31-LL (CMIP6) models) on forest tree covers. All scenarios show an annual VPD increase, and the higher its increase, the higher the trees-cover loss. The future changes in precipitation were contrasting. SC6, in line with past precipitation trends, predicts a further drop in the mean annual precipitation (-7.6%), which would correspond to an average 2.1-times-greater reduction in the tree cover (-16.09%). The future changes in precipitation for CMIP6 scenarios agree on a precipitation reduction in the range of -3.4% (SC7) to -14.29% (S12). However, although the reduction in precipitation predicted in SC12 is almost double that predicted in SC6, the consequent average reduction in TC is comparable and stands at -16%. On the contrary, SC2 predicts a turnaround with an abrupt increase of precipitation (+21.5%) in the upcoming years, with a reduction in the number of forests in water-limited areas and an increase in the percentage of tree cover in almost all forests.

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